About Me

I am Yue Fang (方悦), a first-year graduate student at the School of Cyber Science and Engineering, Southeast University advised by Zhang Jing.I have long been dedicated to research on multimodal large language models (MLLMs) and have engaged in multiple MLLM-related autonomous driving projects. Currently, I am interested in the detection and mitigation of hallucinations in LLM-based Multi-Agents System.
You can find my CV here: Fang Yue
Feel free to contact (yuefang979@gmail.com, 1206137707@qq.com)!

Education

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Southeast University
School of Cyber Science and Engineering
2025.09 ~ Current: Cybersecurity, Graduate student
Beijing Jiaotong University Logo
Beijing Jiaotong University
School of Electronic and Information Engineering
2021.09 ~ 2025.06: Information Engineering, Master's Student

Experience

I have been fortunately interning and collaborating with:

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NIO
Data Algorithms Department - Vehicle-end Mining Group, 2025.02 ~ 2025.06
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CEC
Intelligent Applications Research and Development Center - Large Model Data Development Group, 2025.01 ~ 2025.02
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Tsinghua University
School of Vehicle and Mobility- Research Group of Associate Researcher Wang Hong, 2024.05 ~ 2024.11

News

[2025.07.27] One paper is under review by IMAVIS 2026!
[2025.05.06] One patent for incremental learning in Autonomus Driving is publicly released (ID:CN202411715425)!

Publication

(*indicates equal contribution)

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Patent

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A Target Detection Method and Device Based on an Incremental Learning Perception Model
Li Zhiwei, Zhang Zhiyu, Zhou Yang, Fang Yue, Liu Jingshuo, Cai Leyan, Wang Kunfeng, Li Hui, Shen Tianyu, Wang Jingwei
Invention Patent, CN202411715425

For more info

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